MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertainty

Increasingly, safety-critical systems include artificial intelligence and machine learning components (i.e., learning-enabled components (LECs)). However, when behavior is learned in a training environment that fails to fully capture real-world phenomena, the response of an LEC to untrained phenomen...

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Detalles Bibliográficos
Autores principales: Langford, Michael Austin, Chan, Kenneth H., Fleck, Jonathon Emil, McKinley, Philip K., Cheng, Betty H. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Special Section Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024308/
https://www.ncbi.nlm.nih.gov/pubmed/37363107
http://dx.doi.org/10.1007/s10270-023-01090-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10024308/
https://www.ncbi.nlm.nih.gov/pubmed/37363107
http://dx.doi.org/10.1007/s10270-023-01090-9

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